{"id":"W4405173162","doi":"10.48550/arxiv.2412.04544","title":"Spin dynamics of an easy-plane Dirac spin liquid in a frustrated XY model: Application to honeycomb cobaltates","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Condensed matter physics; Honeycomb; Spin (aerodynamics); Quantum spin liquid; Dirac (video compression format); Physics; Dynamics (music); Spin ice; Spin model; Spin polarization; Materials science; Quantum mechanics; Magnetic monopole","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002832912,0.0003522132,0.0007079738,0.0005005706,0.0009407126,0.001376137,0.0008624257,0.0007637278,0.001092657],"category_scores_gemma":[0.0006379073,0.0002552115,0.0004019185,0.0004350133,0.001321555,0.0006562371,0.0006211678,0.0004149104,0.0001016657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127806,"about_ca_system_score_gemma":0.0008804968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286113,"about_ca_topic_score_gemma":0.008334599,"domain_scores_codex":[0.9998945,0.00003363156,0.000005236229,0.000008400074,0.00002802507,0.00003023538],"domain_scores_gemma":[0.9997807,0.00007240821,0.00004628635,0.00002129009,0.00003206743,0.00004728983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000391048,0.0003160348,0.01056886,0.0002333429,0.0001063436,0.001422822,0.0003885091,0.8197094,0.03700886,0.1244231,0.000969983,0.004461624],"study_design_scores_gemma":[0.00005519771,0.00003047848,0.0006051599,0.000006849935,0.000008299993,0.00003399319,0.00005654059,0.9932672,0.00121994,0.004565925,0.0001395733,0.0000109045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906871,0.0001805303,0.004827788,0.0003044412,0.00001876632,0.00002319788,0.00004868732,0.00005833886,0.00385117],"genre_scores_gemma":[0.9973575,0.0001174117,0.001622238,0.00003745215,0.00001354263,0.00002373406,0.00003394244,0.00001813617,0.0007758491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286113,"threshold_uncertainty_score":0.02557254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331822953052564,"score_gpt":0.2153275693418056,"score_spread":0.1920093398112799,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}